Abstract The texture of a fabric can be perceived by the haptic and visual senses. Visual defined as quality surface. It is an important phenomenon because it significant in many fields, such textile design e-commerce. At same time, when we consider semantics word, to take into account that there are variety manifestations fabrics (e.g., woven, knitted, etc.). mechanism perception was investiga...

The main current evolutions in industrial design research are the following : 1 The computerization of the early design phases 2 Consumer and user centered design with in particular emotional design 3 The concurrent engineering, with collaborative work supporting tools Our goal is to modelize the preliminary phases of traditional industrial design process, in order to build new computer aided d...

A novel Customized Agro-industrial Produce Design (CAPD) scheme is highlighted to monitor the plant factory production systems. The expected outcome is to provide every consumer with a produce that matches his or her unique mentality. The new challenges of CAPD are consisting of non-linear and complex interaction between the bio-response parameters and human mentality process involved. As the s...

In a highly competitive market, customers’ product affection is a critical factor to product success. However, understanding customers’ affective needs is difficult to grasp; product design practitioners often misunderstand what customers really want. In this study we report our experience in developing and using an affective design framework that identified critical affective features customer...

Today‟s trends in product development indicated that inclusion of consumer‟s need to the technical aspect of product design will determine their success in the market. Explicit needs are clear and easy to describe. However, the implicit needs such as emotional experience are difficult to quantify. This paper introduces methods and techniques than can be used to capture consumers‟ needs in gener...

The dissertation presents Hybrid Intelligent Decision Support Systems (DSS) for the selection of alternatives (companies, stocks, and company groups) in stock trading under uncertainty. This study proposes a framework including three models using Hybrid Intelligent DSS. The framework aims to optimize trading decisions in the selection of appropriate alternatives and reduce risky decisions. This...